KR102161751B1 - System for remote monitoring joint portion of bridge - Google Patents

Abstract

The present invention relates to a remote risk detection system (1) of a bridge joint unit. Such a remote risk detection system (1) of the bridge joint unit comprises: a magnet (7) provided on one side of a joint unit (5) of a bridge (3); a sensor (9) provided on the other side of the joint unit (5) of the bridge (3) and interlocked with the magnet (7) to detect movement in the directions of three axes, an X-axis, a Y-axis, and a Z-axis; a main body unit (10) which supplies power to the sensor (9), receives a signal from the sensor (9), converts the signal into a low-power long-distance communication signal, and transmits the signal; and a server (S) which receives a low-power communication signal from the main body unit (10), analyzes data, and transmits the data to a terminal, so that a state of the joint unit (5) can be recognized at a remote location.

Description

System for remote monitoring joint portion of bridge}

The present invention relates to a remote risk detection system for a bridge joint, and more particularly, to a technology capable of detecting a danger in advance by installing a sensor on the joint of a bridge to determine the displacement of the bridge in real time even at a remote location.

In general, bridges, cultural properties, buildings, etc. may undergo deformation due to cracks over time, so safety diagnosis should be performed.

As the risk of earthquakes has recently increased, safety inspection of bridges and the like is very important in the event of such an earthquake.

In particular, due to the Pohang earthquake in 2017, there were cases where the bridge fitting (joint part) was damaged, and in June 2018, 32 vehicles damaged tires due to the protrusion of the fitting (joint part) between the bridge deck and the upper plate on the Busan Ulsan Expressway Back damage occurred.

However, in the related art, there is a problem that the operator cannot cope with the danger in advance because the operator directly approaches the joint portion of the bridge and checks with the naked eye.

In particular, areas where human access is difficult are inevitably neglected by management, making it difficult to accurately measure displacement.

In addition, since the displacement of cultural properties is inspected with the naked eye, there is a problem in that the reliability of the inspection result is deteriorated due to differences according to the individual capabilities of the inspector.

Patent application No. 10-2018-4535 (Name: bridge displacement measurement system)

Accordingly, in order to solve such a problem, an object of the present invention is to provide a technology capable of detecting a danger in advance by mounting a sensor on a joint portion of a bridge to recognize the displacement of a bridge in real time even at a remote location.

In order to achieve the above object, an embodiment of the present invention provides a remote risk detection system for the joint portion of the bridge 3, this bridge joint remote risk detection system 1,

A magnet 7 provided on one side of the joint portion 5 of the bridge 3;

A sensor 9 provided on the other side of the joint portion 5 of the bridge 3 and interlocked with the magnet 7 to detect movement in the three-axis directions of the X-axis, Y-axis, and Z-axis;

A main body 10 that supplies power to the sensor 9, receives a signal from the sensor 9, converts it into a low-power long-distance communication signal, and transmits it; And

It includes a server (S) that receives a low-power communication signal from the main body (10), analyzes the data, and transmits the data to the terminal, so that the state of the joint (5) can be identified from a remote location.

As described above, the bridge joint remote risk detection system according to an embodiment of the present invention has the following effects.

First, by installing a sensor on the joint part of the bridge, it is possible to grasp the displacement of the bridge in real time even at a remote location, so there is an effect of detecting danger in advance.

Second, the server can evaluate the overall risk by reflecting not only the displacement of the joint part, but also vibration and temperature and humidity data, so there is an effect of being able to judge the risk in a more diverse manner.

Third, it is possible to prevent the sensor and the magnet from being contaminated by rainwater in case of rain by being mounted on a bracket provided at a predetermined height above the joint part.

Fourth, by installing a spring between the lower part of the first and second brackets and the bridge upper plate, it is possible to prevent damage by absorbing the impact that occurs when the magnet and the sensor collide due to displacement during the elevating and descending of the bridge upper plate.

1 is a view schematically showing a bridge joint remote risk detection system according to an embodiment of the present invention.
2 is a view showing a state in which a sensor is mounted on the bridge joint shown in FIG. 1.
3 is a view schematically showing an operation process of the joint sensor shown in FIG. 2.
4 is a view showing the server structure of the remote risk detection system of the bridge joint shown in FIG.
FIG. 5 is a view showing an output screen of a control room monitor at a remote location of the bridge shown in FIG. 1.
6 is a diagram illustrating a map displayed on the monitor shown in FIG. 1.
7 is a view showing a state in which a spring is mounted as another embodiment of the first and second brackets shown in FIG. 2.

Hereinafter, a system for detecting a remote risk of a joint part of a bridge according to the present invention will be described in detail with reference to the accompanying drawings.

1 to 6, the bridge joint remote hazard detection system 1 proposed by an embodiment of the present invention is installed in the joint portion 5 of the bridge 3, the amount of the joint portion 5 By measuring the increase/decrease of the joint spacing, the direction of movement, and the moving distance, and transmitting the measured data to a remote location, the risk of the bridge is identified.

This bridge joint unit remote risk detection system (1) includes a magnet (7) provided on one side of the joint (5) of the bridge (3); A sensor 9 provided on the other side of the joint portion 5 of the bridge 3 and interlocked with the magnet 7 to detect movement in the three-axis directions of the X-axis, Y-axis, and Z-axis; A main body 10 that supplies power to the sensor 9, receives a signal from the sensor 9, converts it into a low-power long-distance communication signal, and transmits it; It includes a server (S) that receives a low-power communication signal from the main body (10), analyzes the data, and transmits the data to the terminal, so that the state of the joint (5) can be identified from a remote location.

In the bridge joint remote hazard detection system having such a structure,

The magnet 7 is mounted on the first bracket B1 provided on one side of the joint part 5. The first bracket B1 is provided on one side of the joint part 5 and moves together with the joint part 5. At this time, the first bracket (B1) is a vertical bar (41; Fig. 7) protruding upward from the bridge upper plate, and a horizontal bar (42) protruding horizontally from the vertical bar (41) and equipped with a magnet (7) (Fig. 7).

Therefore, when displacement occurs on one side of the joint part 5, the magnet 7 also moves.

The sensor 9 is mounted on a second bracket B2 provided on the other side of the joint portion 5 of the bridge 3. The second bracket (B2) is provided on the other side of the joint portion (5) and moves with the joint portion (5), and interacts with the magnet (7). At this time, the magnet 7 and the sensor 9 are separated from each other by a certain distance, for example, about 10 cm up and down so that they do not interfere with each other.

In addition, the second bracket (B2), like the first bracket (B1), is composed of a vertical bar protruding upward from the bridge upper plate, and a horizontal bar protruding horizontally from the vertical bar and equipped with a sensor 9.

The sensor 9 refers to a magnetic sensor that senses the magnetic force of the magnet 7. The magnetic sensor is a method of sensing by using the principle that the current flowing through the adjacent coil also changes when the magnetic field formed around the magnet 7 changes.

For example, the magnetic sensor may be a Hall sensor that detects geomagnetic fields by the Hall effect. As electrons are deflected by a current and a magnetic field in an orthogonal conductor, a voltage is generated across the conductor. This is a linear value. By measuring the voltage (referred to as Hall voltage), it is a method that allows you to know the magnitude of the magnetic field currently incident.

The sensor 9 is disposed above the magnet 7 at a distance from the magnet 7 and detects a change in magnetic field strength when the magnet moves in the X, Y, and Z axis directions.

In addition, the change value of the magnetic field strength is transmitted to the server S through the main body 10, and analyzed by the server S to calculate whether the joint part 5 is open, the open direction, and the open distance. do.

The data measured by the sensor 9 is transmitted to the server S through the main body 10, and the main body 10 supplies power to the sensor 9 and transmits data to the server S. .

As another embodiment of the present invention, as shown in FIG. 7, a spring 43 is provided between the lower portion of the vertical bar 41 of the first bracket B1 and the second bracket B2 and the bridge top plate 3 Each of them is mounted so that it can support elasticity in the vertical direction. Therefore, when one side or the other side of the bridge top plate rises and falls and collides with the magnet 7 and the sensor 9, the spring 43 absorbs the impact to prevent damage.

On the other hand, the present invention is not limited to such a magnetic sensor 9, it is also possible to collect other information about the bridge. For example, a temperature and humidity sensor that measures temperature and humidity, an acceleration sensor that detects motion, and a wind direction sensor are additionally installed on the bridge to prevent temperature, humidity, and vibration. , Earthquake, wind direction, wind speed, etc. can be checked.

In addition, the data transmitted from the sensor 9 is transmitted to the main body 10 through a cable or wirelessly. The main body 10 is provided with various power supply sources for supplying power, and for example, a lithium-ion battery, SMPS, solar panel, or the like may be applied.

In addition, the main body 10 may convert and transmit an LPWAN signal in a low-power wide area network (LPWAN). At this time, the frequency band is 917-923.5 Mhz.

The main body 10 receives a cable signal or an LPWAN signal from the sensor 9 and converts it into an Ethernet or Wifi signal. That is, the main body 10 converts the WAN signal received from the sensor 9 into Ethernet or Wifi by having a gateway (G) and a low-power wide area network (LPWAN) to convert the server ( S).

In this case, the low-power long-distance communication method refers to a wireless wide area communication network with low power consumption that provides a wide area with a service range of 10 km or more and a communication speed of up to several hundred kilobits per second (kbps) or less. It is mainly used as a network dedicated to the Internet of Things (IoT).

And, low-power long-distance communication methods are classified into LoRaWAN, SIGFOX, LTE-MTC (LTE Machine-Type Communications), and Narrowband Internet of Things (NB-IoT) methods.

In addition, the low-power long-distance communication method enables a mesh network function in which one BLE device transmits information of another BLE device.

Said server (S) receives the data received from the main body portion 10, the classification and analysis stored in the database, this data.

Such a server (S) is placed in a remote control room or the like, so that the manager can determine whether there is a danger to the joint part 5 of the bridge in real time.

That is, the server (S) includes a signal input unit 21 and a displacement determination unit 23 that analyzes the input signal to determine the open state of the joint unit 5 of the bridge; A risk determination unit 25 for determining the risk of the bridge by calculating the open state of the joint unit 5 in conjunction with other variables; A record inquiry unit 27 capable of inquiring the past history of the bridge; It includes a database 31.

To describe this server (S) in more detail,

The displacement determination unit 23 calculates whether or not the joint portion 5 of the bridge 3 is open, the distance between the bridge 3, and the direction of the open according to the data transmitted by the sensor 9.

That is, the magnet 7 provided on one side of the joint part 5 and the sensor 9 provided on the other side are at a certain distance apart from each other. When a displacement occurs on one side due to deformation of the joint part 5, the magnet (7) The magnetic field formed around it fluctuates, and the sensor 9 senses this and transmits it to the server S, thereby determining whether the joint part 5 is open.

In addition, by analyzing the magnetic field strength measured by the sensor 9, the open distance can be calculated.

And, by analyzing the direction in which the magnetic field changes, the direction in which the magnetic field has changed can be calculated.

Therefore, the displacement determination unit 23 can grasp the open state of the joint portion 5 of the bridge 3 in real time.

In addition, the risk determination unit 25 determines the overall risk by interlocking data received from the displacement determination unit 23 with data received from other temperature and humidity sensors, vibration sensors, and wind direction sensors.

For example, the weight of the result value of the displacement determination unit 23 is 40, the weight of the result value output from the vibration sensor is 40, and the weight of the result value of the temperature and humidity sensor is calculated as 20.

This can be expressed as an equation as follows.

Risk of the entire bridge=(displacement value*0.4)+(vibration value*0.4)+(temperature/humidity value*0.2)

Therefore, the overall risk of the bridge is judged by setting the specific gravity higher than the temperature and humidity results for the displacement and vibration sensor results.

These servers (S) are equipped with open source databases and platform-based software (GNU/Linux, MariaDB).

In addition, it supports HTTP security and HTTP/2 protocol, and is equipped with a web application server (WAS) function. In addition, a proxy function for load balancing processing is built-in, and user authentication and permission functions are supported.

In addition, multiple gates and nodes are supported, and push message cloud interworking is supported.

Meanwhile, FIG. 5 shows that the state of the joint part 5 of the bridge 3 is displayed on a remote control room monitor.

As shown, the displacement of the joint part 5 of the bridge 3 can be displayed in the form of a graph.

In addition, the monitor of the control room may warn by displaying a red light or by means of flashing, warning sound, warning light, electric sign, etc., when a danger occurs in the joint part 5 of the bridge 3.

And, as shown in FIG. 6, it is possible to interlock with a 2D or 3D map by supporting the location information service.

Therefore, it is possible to determine in real time whether there are abnormalities in bridges scattered across the country. In addition, related data can be input and output through the interactive UI, statistics for each bridge can be calculated, and output as a graph or the like.

At this time, data such as displacement, vibration, earthquake, temperature and humidity for each bridge are collected and patterned for a certain period of time, thereby enabling efficient management.

In addition, the database 31 stores and stores the data processed by the server S. For example, the ID, MAC, Name, type, and number of sensors 9 mounted on bridges scattered across the country Receives and stores data for X coordinates and Y coordinates.

In addition, the user can monitor the condition such as the displacement of the bridge in real time by installing a related app on the smartphone and activating this app to access the server S.

Claims (5)

A magnet 7 provided in the first bracket B1 provided on one side of the joint part 5 of the bridge 3;
Magnetic field detection that detects the movement of the X-axis, Y-axis and Z-axis in the three-axis direction by interlocking with the magnet 7 provided in the second bracket (B2) provided on the other side of the joint part (5) of the bridge (3) Type sensor 9;
A main body 10 that supplies power to the sensor 9, receives a signal from the sensor 9, converts it into a low-power long-distance communication signal, and transmits it; And
It includes a server (S) that receives a low-power communication signal from the main body 10, analyzes the data, and transmits it to the terminal, so that the state of the joint part 5 can be grasped from a remote location,
The first and second brackets B1 and B2 each include a vertical bar 41 protruding upward from the bridge top plate and a horizontal bar 42 extending in the horizontal direction from the vertical bar 41,
A bridge joint remote risk detection system that absorbs the impact of the magnet 7 and sensor 9 when the bridge top plate rises and falls by providing a spring 43 between the lower part of the vertical bar 41 and the bridge top plate. delete The method of claim 1,
The main body 10 transmits and receives data to and from the sensor 9 through wired or wireless, and a power supply for supplying power; Bridge joint remote risk detection system including a low-power communication module (LPWAN; low-power wide area network) for transmitting the signal of the sensor (9) to the server (S). The method of claim 3,
The server S includes a signal input unit 21 and a displacement determination unit 23 that analyzes the input signal to determine the open state of the joint unit 5 of the bridge; A risk determination unit 25 for determining the risk of the bridge by calculating the open state of the joint unit 5; A record inquiry unit 27 capable of inquiring the past history of the bridge; Bridge joint remote hazard detection system including a database (31). The method of claim 4,
The risk determination unit 25 is a bridge joint unit that determines the overall risk according to the following equation by linking the data received from the displacement determination unit 23 with the data received from the temperature and humidity sensor 9 and the vibration sensor 9 Remote hazard detection system.
Risk of the entire bridge = (displacement value * 0.4) + (vibration value * 0.4) + (temperature and humidity value * 0.2)-Equation 1

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